Architect and design scalable ML, data, and AI solutions aligned with business goals
Lead development and deployment of machine learning models and AI systems
Develop and optimize solutions using Python and advanced statistical techniques
Design and implement synthetic data generation frameworks for testing and modeling
Build and manage data pipelines and storage solutions using PostgreSQL
Implement and optimize vector databases such as Qdrant for AI/LLM use cases
Collaborate with cross-functional teams including engineering, product, and business stakeholders
Provide technical leadership, mentorship, and guidance to data science and engineering teams
Ensure best practices in MLOps, data governance, scalability, and security
Drive project delivery, timelines, and quality standards
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field
8+ years of experience in data science, machine learning, or AI engineering
Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Expertise in statistical modeling and data analysis
Hands-on experience with synthetic data generation techniques
Strong experience with PostgreSQL or similar relational databases
Experience with vector databases such as Qdrant or similar technologies
Proven experience in solution architecture and system design
Demonstrated experience leading teams and delivering large-scale projects
Excellent verbal and written communication skills in English, with the ability to clearly articulate complex technical concepts to both technical and non-technical stakeholders
Experience with cloud platforms (AWS, Azure, or GCP)
Knowledge of LLMs, generative AI, and RAG architectures
Experience with data engineering tools (Spark, Airflow, etc.)
Familiarity with DevOps/MLOps practices and CI/CD pipelines
Strong team leadership and mentoring skills
Excellent communication and stakeholder management
Ability to drive projects from concept to delivery
Strategic thinking and problem-solving mindset
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field
- 8+ years of experience in data science, machine learning, or AI engineering
- Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Expertise in statistical modeling and data analysis
- Hands-on experience with synthetic data generation techniques
- Strong experience with PostgreSQL or similar relational databases
- Experience with vector databases such as Qdrant or similar technologies
- Proven experience in solution architecture and system design
- Demonstrated experience leading teams and delivering large-scale projects
- Excellent verbal and written communication skills in English
What We Do
A Trusted Partner for Every Digital Enterprise Bringing Value. Jade Global is a global IT consulting company with two decades of industry experience that helps the world’s leading businesses and organizations build their digital core, optimize their operations, and accelerate revenue growth. We are headquartered in San Jose, California; Jade Global operates with offices in 13 locations across North America, the UK, and Asia. Renowned as a trusted "partner of choice" for businesses in Healthcare & Life Sciences, Hi-tech, Retail, Manufacturing, and Financial Industries, Jade Global has innovated 30+ industry-specific solutions. Whether your focus is harnessing or expanding Gen-AI, AI, and digital capabilities, transforming operating models, or accelerating insightful decision-making, we’re here to help you gain and maintain a competitive edge with efficient, sustainable models. At Jade Global, it’s all about outcomes—your outcomes—and delivering the results you desire, tailored to your unique requirements
Why Work With Us
We are Great Place to Work Certified company and Jade focus on people first approach.
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